Context Items: 70+ File Types Your AI Can Work With

Published on March 3, 2026, by xSyched

Your AI's Building Blocks

Context items are the building blocks of your AI's knowledge. Unlike chat-based AI that forgets everything when you close the window, xSyched lets you attach persistent data — text, files, URLs — to your contexts. Your AI remembers because your data persists.

Every piece of information you add to a context becomes a context item. These items live in your personal database and are available to your AI whenever you need them. Whether it's a quick text note, a detailed PDF report, a Python script, or an architectural diagram, xSyched handles it all.

With support for over 70 file types across eight categories, you can build rich, comprehensive knowledge bases that make your AI genuinely useful for real-world work.

Full File Type Catalog

Below is the complete catalog of file types xSyched supports, organized by category. Each file type can be uploaded as a context item, stored persistently, and made available to your AI across sessions.

Text Files

Plain text and structured data formats form the foundation of most knowledge bases.

TXT — Plain text files
CSV — Comma-separated values
TSV — Tab-separated values
JSON — JavaScript Object Notation
XML — Extensible Markup Language
YAML — YAML Ain't Markup Language
TOML — Tom's Obvious Minimal Language
INI — Initialization/configuration files
LOG — Log files
MD — Markdown files

Images

Visual assets like screenshots, diagrams, photos, and icons can all be stored as context items.

JPG / JPEG — Joint Photographic Experts Group
PNG — Portable Network Graphics
GIF — Graphics Interchange Format
BMP — Bitmap image
WEBP — WebP image format
SVG — Scalable Vector Graphics
ICO — Icon file
TIFF — Tagged Image File Format

Documents

Office documents, presentations, and spreadsheets — the files you work with every day.

PDF — Portable Document Format
DOC — Microsoft Word (legacy)
DOCX — Microsoft Word
XLS — Microsoft Excel (legacy)
XLSX — Microsoft Excel
PPT — Microsoft PowerPoint (legacy)
PPTX — Microsoft PowerPoint
ODT — OpenDocument Text
ODS — OpenDocument Spreadsheet
ODP — OpenDocument Presentation
RTF — Rich Text Format

Code

Source code files across a wide range of programming languages. Store scripts, modules, configurations, and entire codebases as context items.

PY — Python
JS — JavaScript
TS — TypeScript
CSS — Cascading Style Sheets
HTML — HyperText Markup Language
JAVA — Java
GO — Go (Golang)
RUST — Rust
PHP — PHP Hypertext Preprocessor
C — C language
CPP — C++
CS — C#
RB — Ruby
SWIFT — Swift
KT — Kotlin
SQL — Structured Query Language
SH — Shell script
BAT — Windows batch script
PS1 — PowerShell script

Audio

Audio files for podcasts, voice memos, music, and sound recordings.

MP3 — MPEG Audio Layer 3
WAV — Waveform Audio
OGG — Ogg Vorbis
FLAC — Free Lossless Audio Codec
AAC — Advanced Audio Coding
WMA — Windows Media Audio
M4A — MPEG-4 Audio

Video

Video files for tutorials, demos, presentations, and recorded meetings.

MP4 — MPEG-4 Video
AVI — Audio Video Interleave
MOV — Apple QuickTime Movie
WMV — Windows Media Video
FLV — Flash Video
MKV — Matroska Video
WEBM — WebM Video

Other

Specialized file types for email, calendar events, and contact information.

EML — Email message
ICS — iCalendar event
VCF — vCard contact file

How to Add Items

Adding context items to xSyched is as natural as having a conversation. You interact with the ChatGPT GPT and simply tell it what you want to store. There are three primary ways to add items:

Provide text directly — Type or paste text into the conversation, and ask the GPT to save it as a context item. This works great for notes, instructions, reference material, or any information you want your AI to remember.
Upload files — Attach any supported file type directly in the chat. The GPT will process the file and store it as a context item in your chosen context. Whether it's a PDF report, a Python script, or a PNG diagram, just drag and drop.
Reference URLs — Share a URL with the GPT and ask it to review and store the relevant content. xSyched will fetch the page, extract the meaningful information, and save it as a context item.

Each item you add gets a name and an optional description. The name helps you and your AI quickly identify items, while the description provides additional context about what the item contains and how it should be used.

Revising and Managing Items

Context items are not static. As your projects evolve, your knowledge base should evolve with them. xSyched makes it easy to keep your items current:

Update content — Tell the GPT to replace an item's content with new information. Upload a revised file or provide updated text, and the item is refreshed in place.
Rename items — Changed the scope of a document? Just ask the GPT to rename the item so it accurately reflects its current purpose.
Delete items — When information becomes outdated or irrelevant, ask the GPT to remove it. Items persist until you explicitly remove them — nothing disappears on its own.

All management happens through natural language conversation. There are no dashboards to navigate, no file managers to wrestle with. Just tell your AI what you need, and it handles the rest.

URL References and Binary Data

Not all knowledge lives in files on your computer. xSyched bridges the gap between web content and your persistent knowledge base.

URL references allow you to point the GPT at any publicly accessible web page. The GPT reviews the content, extracts the relevant information, and stores it as a context item. This is invaluable for capturing documentation pages, API references, blog posts, research articles, and any other web-based resource you want your AI to remember.

Binary file storage ensures that non-text files — images, audio, video, archives — are stored faithfully and can be retrieved whenever needed. While the AI may not be able to directly interpret every binary format, the files are preserved in your context and available for download or reference at any time.

Practical Example

Consider a real-world scenario: Alex is leading a software development project and wants their AI to have full visibility into the project's key materials.

Alex creates a context called "Project Alpha" and adds the following items through conversation with the GPT:

Project Requirements (DOCX) — A detailed requirements document outlining features, user stories, and acceptance criteria.
Budget Spreadsheet (XLSX) — The project budget with cost breakdowns by phase, resource allocations, and projected timelines.
Architecture Diagram (PNG) — A visual overview of the system architecture showing services, databases, and data flows.
API Specification (YAML) — The OpenAPI specification defining all endpoints, request/response schemas, and authentication requirements.

Now, whenever Alex discusses Project Alpha with the GPT, all of this information is available. Alex can ask questions like "What's the budget for Phase 2?" or "Which endpoints require authentication?" and the AI can answer with specifics drawn directly from the stored context items. No re-uploading, no copy-pasting, no starting from scratch.

Your Items, Your Long-Term Memory

Your items are your AI's long-term memory. Unlike uploading files to a chat session that vanishes when you close the tab, xSyched items persist in your personal database. They're always there when you need them — today, next week, next year.

With support for over 70 file types, natural language management, and persistent storage, xSyched transforms your AI from a forgetful conversationalist into a reliable knowledge partner that grows smarter with every item you add.